https://github.com/p-gw/factorrotations.jl

Rotation methods for factor analysis and principal component analysis in Julia
https://github.com/p-gw/factorrotations.jl

factor-analysis julia psychometrics

Last synced: 4 months ago
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Rotation methods for factor analysis and principal component analysis in Julia

• Host: GitHub
• URL: https://github.com/p-gw/factorrotations.jl
• Owner: p-gw
• License: mit
• Created: 2024-01-03T08:21:37.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-09-19T10:40:03.000Z (almost 2 years ago)
• Last Synced: 2024-10-19T05:17:54.672Z (over 1 year ago)
• Topics: factor-analysis, julia, psychometrics
• Language: Julia
• Homepage: https://p-gw.github.io/FactorRotations.jl/
• Size: 917 KB
• Stars: 7
• Watchers: 1
• Forks: 2
• Open Issues: 11
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# FactorRotations.jl

[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://p-gw.github.io/FactorRotations.jl/stable/)

[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://p-gw.github.io/FactorRotations.jl/dev/)

[![Build Status](https://github.com/p-gw/FactorRotations.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/p-gw/FactorRotations.jl/actions/workflows/CI.yml?query=branch%3Amain)

[![Coverage](https://codecov.io/gh/p-gw/FactorRotations.jl/branch/main/graph/badge.svg)](https://codecov.io/gh/p-gw/FactorRotations.jl)

[FactorRotations.jl](https://github.com/p-gw/FactorRotations.jl) implements factor rotations by the gradient projections algorithms described

in Bernaards & Jennrich (2005).

## Installation

To install FactorRotations.jl you can use the Julia package manager,

```julia

] add FactorRotations

```

## Getting started

FactorRotations.jl provides methods to rotate factor loading matrices, e.g. from 

exploratory factor analysis or principle component analysis.

Assume you aquired a factor loading matrix `L` then you can rotate the matrix by calling

the `rotate` function. The `rotate` function takes the factor loading matrix as the first

argument and an instance of a rotation method as the second argument.

```julia

L = [

    0.830 -0.396

    0.818 -0.469

    0.777 -0.470

    0.798 -0.401

    0.786  0.500

    0.672  0.458

    0.594  0.444

    0.647  0.333

]

rotate(L, Varimax())

```

For a complete list of available methods see the [Rotation Methods](https://github.com/p-gw/FactorRotations.jl/rotation_methods.jl) section of the documentation.

For a fully worked example see the [Guides](https://github.com/p-gw/FactorRotations.jl/guides/index.html) section of the documentation.

# References

Bernaards, C. A., & Jennrich, R. I. (2005). Gradient projection algorithms and software for arbitrary rotation criteria in factor analysis. *Educational and psychological measurement, 65*(5), 676-696.